Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Open and closed-loop control systems01:17

Open and closed-loop control systems

1.9K
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
1.9K
PD Controller: Design01:26

PD Controller: Design

688
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
688
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

6.6K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
6.6K
Feedback control systems01:26

Feedback control systems

755
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
755
Modeling with Differential Equations01:25

Modeling with Differential Equations

138
Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
138

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The PLAGL1-KLF4-IRX5 axis promotes the osteogenesis of periosteal progenitors during mandible regeneration.

Nature communications·2026
Same author

A closed-loop multi-agent swarm framework for synergistic location-routing optimization in municipal solid waste collection system.

Journal of environmental management·2026
Same author

Predicting the upper bound of human path keeping performance using the two-point visual steering model: a comparison of four implementations.

Ergonomics·2026
Same author

From Neural Representations to Brain-Inspired Architecture: Decoding Auditory Target Perception in Complex Scenes.

IEEE journal of biomedical and health informatics·2026
Same author

Divergent Amplification of Y-Linked Dosage-Sensitive Genes Triggers Regulatory Mismatch Underlying Cattle-Yak Male Sterility.

Biomolecules·2026
Same author

The <i>SCD5</i> Gene Modulates Adipogenic Differentiation via the <i>WNT5B</i> Signaling Pathway in Xinjiang Brown Cattle.

Animals : an open access journal from MDPI·2025

Related Experiment Video

Updated: Mar 8, 2026

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

5.1K

Queuing Network Modeling of Driver EEG Signals-Based Steering Control.

Luzheng Bi, Yun Lu, Xinan Fan

    IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
    |January 24, 2017
    PubMed
    Summary
    This summary is machine-generated.

    Researchers developed a brain-controlled steering model to predict driver performance. This model combines a driver model with a brain-computer interface (BCI) model, showing promise for assistive vehicles and other BCI applications.

    More Related Videos

    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
    08:18

    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

    Published on: August 15, 2020

    5.5K
    An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
    10:51

    An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

    Published on: March 10, 2011

    14.3K

    Related Experiment Videos

    Last Updated: Mar 8, 2026

    Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
    07:15

    Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

    Published on: December 18, 2020

    5.1K
    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
    08:18

    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

    Published on: August 15, 2020

    5.5K
    An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
    10:51

    An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

    Published on: March 10, 2011

    14.3K

    Area of Science:

    • Neuroscience
    • Robotics
    • Human-Computer Interaction

    Background:

    • Brain-computer interfaces (BCIs) offer potential for assistive technologies.
    • Directly controlling vehicles with brain signals can aid individuals with disabilities.
    • Current models for predicting driver performance lack integration with BCI capabilities.

    Purpose of the Study:

    • To propose and evaluate a novel driver brain-controlled steering model.
    • To simulate and predict driver performance using brain signals for vehicle steering.
    • To explore the potential of BCIs in assistive vehicle development and control of external devices.

    Main Methods:

    • Developed a hybrid model combining an extended queuing network-based driver model with a BCI performance model.
    • Simulated driver performance in a brain-controlled steering scenario.
    • Validated the model's predictive accuracy against real-world driving performance.

    Main Results:

    • The proposed driver brain-controlled steering model demonstrated performance comparable to human drivers.
    • The model achieved good performance in simulating brain-controlled driving scenarios.
    • Experimental results indicate the model's efficacy in predicting driver performance with BCIs.

    Conclusions:

    • The developed model shows significant potential for the advancement of brain-controlled assistive vehicles.
    • This research offers valuable insights into simulating and predicting performance for BCI systems controlling external devices.
    • The study highlights the feasibility of using brain signals as a complementary control method for a broader driving audience.